Exact(58)
Since the skin detection algorithm may not detect skin pixels completely, we apply necessary post-processing techniques for noise handling.
Figure 2 Results of skin detection algorithm.
Alternatively, given a representative training set, skin detection rules can be determined using machine learning.
Then, a cube-based color model was employed for the skin detection.
Next, we rely on skin detection, morphological processing and face detection, for robust initialization.
Figure 2 shows the results of different stages for the skin detection algorithm.
In [30], several algorithms for skin detection in objectionable videos were compared.
Then after applying skin detection algorithm, the required features are calculated.
Human skin detection in color images is a key preprocessing stage in many image processing applications.
Similar(2)
The system would use three parameters (skin tone detection, face detection, and movement detection) to determine whether you'd like to actually use your device and that you are, indeed, you.
In summary, adaptive skin color detection usually has higher detection rate than methodologies based on traditional color spaces.
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